Catalog description

Study of the geometric, computation, and probabilistic properties of linear and generalized regression models. Extensions may include non-linear models, regularization techniques, and neural networks. Applications applying models to data from various domains using the R programming language will illustrate the connection between theory and practice.

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Class #richmond_2-0420Fall 2026UGRD

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